Exploring citation diversity in scholarly literature
An entropy-based approach
Bibliographic Data
| ID | 21443682 |
|---|---|
| Authors | Suchismita Banerjee (0009-0003-5477-7421, Indian Statistical Institute, corresponding author), Abhik Ghosh (0000-0003-3688-4584, Indian Statistical Institute), Banasri Basu (0000-0003-0648-7895, Indian Statistical Institute) |
| Year | 2025 |
| Volume | 130 |
| Issue | 5 |
| Pages | 2673-2704 |
| Publication date | 2025-05-01 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Scientometrics (JOURNAL) |
| Journal identifiers | ISSN: 0138-9130 • E-ISSN: 1588-2861 |
| Publisher | Springer Science and Business Media LLC (PUBLISHER) |
| DOI | 10.1007/s11192-025-05313-2 |
| OpenAlex | W4409592384 |
| Language | EN |
| Citations received | 1 |
| References cited | 39 |
Bibliometrics · Citation · Citation analysis · Data science · Diversity (politics) · Information retrieval · Library science · Social science · Sociology · Anthropology · Computer Science · scientometrics and bibliometrics research
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Exploring citation diversity in scholarly literature
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Leading countries in global science increasingly receive more citations than other countries doing similar research
| Citations per year | 1 |
|---|---|
| Citation span | 2025 - 2025 (1) |
| Highly cited | No |